Model comparison
Codellama 34b Instruct vs GPT-4.5
GPT-4.5 is the stronger model overall, scoring 37.2 to 30.8 on the Noometry Index.
Last verified . 10 shared benchmarks.
Summary
- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 1 category and GPT-4.5 in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.5 leads 56.9 to 28.2.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.
Side by side
| Codellama 34b Instruct | GPT-4.5 | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.8 | 37.2 |
| Released | — | 2025-02-27 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 42 |
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Category by category
Coding GPT-4.5 leads
Codellama 34b Instruct: 28.5 (#314), GPT-4.5: 42.2 (#109)
| Benchmark | Codellama 34b Instruct | GPT-4.5 |
|---|---|---|
| LMArena Coding | 1046 | 1396 |
| Aider Polyglot | — | 44.9% |
| WeirdML | — | 39.4% |
| BigCodeBench Instruct | 29% | — |
| LiveBench Coding | — | 75.2% |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, GPT-4.5: 27.9 (#97)
| Benchmark | Codellama 34b Instruct | GPT-4.5 |
|---|---|---|
| Cybench | — | 17.5% |
Reasoning Codellama 34b Instruct leads
Codellama 34b Instruct: 19.6 (#255), GPT-4.5: 13.9 (#330)
| Benchmark | Codellama 34b Instruct | GPT-4.5 |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1403 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 34.5% |
| ARC-AGI-1 | — | 10.3% |
| EnigmaEval | — | 3.2% |
| LiveBench Reasoning | — | 71.1% |
| LiveBench Data Analysis | — | 64.3% |
| Epoch Capabilities Index | — | 136.74 |
| ForecastBench | — | 61.7 |
| LiveBench | — | 69% |
Math GPT-4.5 leads
Codellama 34b Instruct: 31.0 (#230), GPT-4.5: 32.6 (#211)
| Benchmark | Codellama 34b Instruct | GPT-4.5 |
|---|---|---|
| LMArena Math | 1056 | 1412 |
| OTIS Mock AIME 2024-2025 | — | 37.8% |
| LiveBench Math | — | 69.3% |
| MATH Level 5 | — | 78.6% |
Knowledge Not comparable
Codellama 34b Instruct: —, GPT-4.5: 32.5 (#211)
| Benchmark | Codellama 34b Instruct | GPT-4.5 |
|---|---|---|
| GPQA Diamond | — | 68.7% |
| Humanity's Last Exam | — | 5.4% |
| Confabulations | — | 13.6% |
| LMArena Expert | — | 1394 |
Multimodal Not comparable
Codellama 34b Instruct: —, GPT-4.5: 37.6 (#71)
| Benchmark | Codellama 34b Instruct | GPT-4.5 |
|---|---|---|
| LMArena Vision | — | 1195 |
| VPCT | — | 45% |
Multilingual GPT-4.5 leads
Codellama 34b Instruct: 25.8 (#284), GPT-4.5: 52.5 (#83)
| Benchmark | Codellama 34b Instruct | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1011 | 1413 |
| LMArena Chinese | 976 | 1421 |
| LMArena French | — | 1418 |
| LMArena German | — | 1457 |
| LMArena Japanese | — | 1416 |
| LMArena Korean | — | 1392 |
| LMArena Russian | — | 1419 |
Instruction Following GPT-4.5 leads
Codellama 34b Instruct: 52.2 (#291), GPT-4.5: 72.6 (#134)
| Benchmark | Codellama 34b Instruct | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 1028 | 1404 |
| LiveBench Instruction Following | — | 72.3% |
Long Context GPT-4.5 leads
Codellama 34b Instruct: 30.9 (#284), GPT-4.5: 40.4 (#155)
| Benchmark | Codellama 34b Instruct | GPT-4.5 |
|---|---|---|
| LMArena Longer Query | 1013 | 1406 |
| Fiction.LiveBench | — | 63.9% |
Writing & Preference GPT-4.5 leads
Codellama 34b Instruct: 28.2 (#297), GPT-4.5: 56.9 (#134)
| Benchmark | Codellama 34b Instruct | GPT-4.5 |
|---|---|---|
| LMArena Text | 1066 | 1417 |
| LMArena Creative Writing | 1032 | 1394 |
| LMArena Multi-Turn | 1015 | 1444 |
| Short-Story Creative Writing | — | 75.6% |
| EQ-Bench Creative Writing | — | 1258 |
| LiveBench Language | — | 61.5% |
Frequently asked questions
Is Codellama 34b Instruct better than GPT-4.5?
GPT-4.5 is the stronger model overall, scoring 37.2 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or GPT-4.5 better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and GPT-4.5 share?
10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GPT-4.5 has 42.